The polyethylene unit steam piping network system has a complex structure.It has various kinds of steam equipment

the parameters for the model are complicated and its energy consumption and configuration depend on experience.This paper puts forward the support vector machine as the soft sensor model to establish the accurate non-linear foundation model for the optimization of the steam piping network.A steam piping network model from the viewpoint of energy consumption was constructed based on material balance

energy conservation

and product quality.This model was a problem of mixed integer nonlinear programming (MINLP) calculated with adaptive mixed coding differential evolution (AMCDE).The polyethylene unit steam network of a petrochemical plant was simulated with the model and optimized.